While uncertainty around the Middle East conflict continues to dominate the headlines, AI and tech remains one of our top investment themes. Critically, this is a theme that extends beyond the U.S., with the structural growth opportunity in AI playing out across China’s technology ecosystem as well. China stands out due to its relative insulation from the recent upheavals in energy prices (courtesy of its diversified and domestic energy sources), as well the heavy emphasis on AI adoption and monetization by its policymakers.
In this note, we focus on key emerging themes within the China tech sector, covering AI investment trends, profitability, fundamental shifts in subscription models, and overseas expansion. We highlight company-specific case studies for each theme with a focus on takeaways from the recent earnings season. In short, despite the recent mixed earnings picture, we see favorable opportunities in Chinese tech for investors willing to be selective and stay the course.
What China’s tech earnings are telling investors
The latest earnings season from China’s technology companies highlights a structural shift underway across the sector. The near-term earnings outlook remains uneven due to heavy reinvestment and mixed signals around AI capex. However, overseas expansion, evolving business models, and competitive dynamics suggest China tech is entering a new phase of execution-driven differentiation, rather than broad, macro-led beta exposure.
1) Clear acceleration of AI related capex: reinvestment cycle is gaining momentum
A consistent theme across leading Chinese tech companies is the continued acceleration of AI-related capital expenditure, with management teams increasingly explicit about execution, scale, and monetization roadmaps. Here are some examples from industry leaders:
Alibaba’s management emphasized that AI investment is no longer experimental, but firmly execution-driven, anchored around a token-based monetization framework. External cloud revenue growth has re-accelerated into the mid-30% range, while AI-related demand has sustained triple digit growth rates for ten consecutive quarters, driving both revenue and EBITA acceleration at the Cloud Intelligence group within the firm. Importantly, growth is increasingly driven by Model as a Service (MaaS) adoption and inference workloads, rather than one off training contracts, suggesting a more sustainable outlook. Alibaba’s AI strategy is now visibly full stack, spanning the Qwen model family, T Head in house chips, and hyperscale cloud infrastructure, integrated through platforms such as Alibaba Token Hub to capture rising token consumption across enterprise and consumer use cases.
Tencent is pursuing a different go-to-market approach but reinforced the same reinvestment message. Management framed 2026 as a year of heavier AI investment, with monetization already emerging in core businesses such as advertising, Weixin Search, Video Accounts, gaming, and cloud services, even as new AI-native products remain in incubation.
More broadly, the industry-wide shift from training heavy AI workloads toward inference-driven demand materially improves utilization rates, pricing flexibility, and margin potential over time. This reinforces the view that AI cloud growth can increasingly translate into operating leverage, rather than remaining as a cost center. The message is clear: AI capex is still rising, and management teams are increasingly willing to tolerate near-term margin pressure to secure long term positioning in AI infrastructure and ecosystems.
2) Profit margins are stabilizing despite heavy capex
Profitability trends across China tech suggest stabilization rather than expansion, with margins still under pressure as companies prioritize reinvestment. At Alibaba, ongoing investments into AI, cloud, and quick commerce weighed on near-term earnings. Consensus has revised down FY27 earnings by mid-teens percentage points, largely reflecting heavier capex and opex associated with AI and new growth initiatives. Buybacks will likely also moderate as capital is redirected toward investment.
Tencent provides a clear illustration of the earnings trade-off. Management highlighted strong early signals from OpenClaw, and sees additive revenue and earnings sources over the medium-term beyond chatbots. However, investment costs are also front loaded. Spending on AI-native products such as Yuan Bao and Hun Yuan totaled RMB 18bn, with guidance that this figure could double in 2027 (even excluding other AI initiatives). As a result, while topline growth could remain in the low-teens, mid-teens earnings growth is unlikely in 2026 with high single-digit growth more realistic due to margin pressures.
In other examples, DiDi reported margin improvements at the unit level, but profitability remains sensitive to competition, labor costs, and reinvestment needs. Xiaomi’s situation is mixed: rising memory prices weighed on handset gross margins, while electric vehicle margins expanded on scale effects. Overall, blended margins still increased by 1.4ppt.
Overall, we are still confident that China’s corporate margins have already bottomed in 4Q25 and remain on track for gradual recovery in 2026, albeit with uneven pacing across sectors and companies.